{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ff03c3c5-d221-4772-a886-3b00aa3dea5e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221 刘显婷 224180117\n",
      "   统计名称  日均最高气温(℃)  日均最低气温(℃)  平均降水总量(mm)  平均降水天数(天)\n",
      "1    1月          5         -5          21          2\n",
      "2    2月          8         -2          29          3\n",
      "3    3月         13          3          46          4\n",
      "4    4月         20          9          70          5\n",
      "5    5月         25         14         101          7\n",
      "6    6月         28         18          34          9\n",
      "7    7月         30         21          56         10\n",
      "8    8月         30         20         140          8\n",
      "9    9月         26         16          85          5\n",
      "10  10月         20         10          49          4\n",
      "11  11月         13          3          29          2\n",
      "12  12月          7         -2          17          2\n",
      "平均降水天数(天)\n",
      "2     3\n",
      "4     2\n",
      "5     2\n",
      "3     1\n",
      "7     1\n",
      "9     1\n",
      "10    1\n",
      "8     1\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(\"信息计算221 刘显婷 224180117\")\n",
    "import pandas as pd\n",
    "#导入库\n",
    "dict={'统计名称':['1月','2月','3月','4月','5月','6月','7月','8月','9月','10月','11月','12月'],\\\n",
    "     '日均最高气温(℃)':[5,8,13,20,25,28,30,30,26,20,13,7],\\\n",
    "      '日均最低气温(℃)':[-5,-2,3,9,14,18,21,20,16,10,3,-2],\\\n",
    "      '平均降水总量(mm)':[21,29,46,70,101,34,56,140,85,49,29,17],\\\n",
    "      '平均降水天数(天)':[2,3,4,5,7,9,10,8,5,4,2,2]}\n",
    "#定义数据字典\n",
    "df=pd.DataFrame(dict,index=range(1,13))\n",
    "#创建DataFrame\n",
    "print(df)\n",
    "#输出DataFrame\n",
    "print(df['平均降水天数(天)'].value_counts())\n",
    "#输出平均降水天数的统计信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2588834a-f6b9-448c-a3c4-2bcbfeccea48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "信息计算221 刘显婷 224180117\n"
     ]
    },
    {
     "ename": "TypeError",
     "evalue": "'dict' object is not callable",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[13], line 11\u001b[0m\n\u001b[0;32m      8\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m纵轴：振幅\u001b[39m\u001b[38;5;124m'\u001b[39m,fontproperties\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSimHei\u001b[39m\u001b[38;5;124m'\u001b[39m,fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m25\u001b[39m)\n\u001b[0;32m      9\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m正弦波实例 $y=cos(2\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mpi x)$\u001b[39m\u001b[38;5;124m'\u001b[39m,fontproperties\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSimHei\u001b[39m\u001b[38;5;124m'\u001b[39m,fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m25\u001b[39m)\n\u001b[0;32m     10\u001b[0m plt\u001b[38;5;241m.\u001b[39mannotate(\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m$\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mmu=100$\u001b[39m\u001b[38;5;124m'\u001b[39m,xy\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m2\u001b[39m,\u001b[38;5;241m1\u001b[39m),xytext\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m3\u001b[39m,\u001b[38;5;241m1.5\u001b[39m),\n\u001b[1;32m---> 11\u001b[0m             arrowprops\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mdict\u001b[39m(facecolor\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mblack\u001b[39m\u001b[38;5;124m'\u001b[39m,shrink\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m,width\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m))\n\u001b[0;32m     12\u001b[0m plt\u001b[38;5;241m.\u001b[39maxis([\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m,\u001b[38;5;241m6\u001b[39m,\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m2\u001b[39m,\u001b[38;5;241m2\u001b[39m])\n\u001b[0;32m     13\u001b[0m plt\u001b[38;5;241m.\u001b[39mgrid(\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
      "\u001b[1;31mTypeError\u001b[0m: 'dict' object is not callable"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"信息计算221 刘显婷 224180117\")\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "#导入库\n",
    "a = np.arange(0.0,5.0,0.02)\n",
    "plt.plot(a,np.cos(2*np.pi*a),'r--')\n",
    "plt.xlabel('横轴：时间',fontproperties='SimHei',fontsize=25,color='green')\n",
    "plt.ylabel('纵轴：振幅',fontproperties='SimHei',fontsize=25)\n",
    "plt.title(r'正弦波实例 $y=cos(2\\pi x)$',fontproperties='SimHei',fontsize=25)\n",
    "plt.annotate(r'$\\mu=100$',xy=(2,1),xytext=(3,1.5),\n",
    "            arrowprops=dict(facecolor='black',shrink=0.1,width=2))\n",
    "plt.axis([-1,6,-2,2])\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87fd2321-15eb-4c9e-9682-abb0157be553",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
